---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-emails-02
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-small-finetuned-emails-02

This model is a fine-tuned version of [Karankankrate/t5-small-finetuned-emails-01](https://huggingface.co/Karankankrate/t5-small-finetuned-emails-01) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0401

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 1.2195          |
| No log        | 2.0   | 26   | 1.1666          |
| No log        | 3.0   | 39   | 1.1272          |
| No log        | 4.0   | 52   | 1.1020          |
| No log        | 5.0   | 65   | 1.0809          |
| No log        | 6.0   | 78   | 1.0653          |
| No log        | 7.0   | 91   | 1.0551          |
| No log        | 8.0   | 104  | 1.0474          |
| No log        | 9.0   | 117  | 1.0422          |
| No log        | 10.0  | 130  | 1.0401          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2